Categorizing bicycling environments using GPS-based public bicycle speed data

A promising alternative transportation mode to address growing transportation and environmental issues is bicycle transportation, which is human-powered and emission-free. To increase the use of bicycles, it is fundamental to provide bicycle-friendly environments. The scientific assessment of a bicyclist’s perception of roadway environment, safety and comfort is of great interest. This study developed a methodology for categorizing bicycling environments defined by the bicyclist’s perceived level of safety and comfort. Second-by-second bicycle speed data were collected using global positioning systems (GPS) on public bicycles. A set of features representing the level of bicycling environments was extracted from the GPS-based bicycle speed and acceleration data. These data were used as inputs for the proposed categorization algorithm. A support vector machine (SVM), which is a well-known heuristic classifier, was adopted in this study. A promising rate of 81.6% for correct classification demonstrated the technical feasibility of the proposed algorithm. In addition, a framework for bicycle traffic monitoring based on data and outcomes derived from this study was discussed, which is a novel feature for traffic surveillance and monitoring.

• Record URL:
  https://doi.org/10.1016/j.trc.2015.04.012
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X15001539
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Joo, Shinhye
  • Oh, Cheol
  • Jeong, Eunbi
  • Lee, Gunwoo
• Publication Date: 2015-7

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: pp 239-250
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 56
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Bicycle facilities; Bicycle travel; Cyclists; Global Positioning System; Level of service; Speed data; Traffic safety; Traffic surveillance; Vehicle sharing
• Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; Safety and Human Factors; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01566338
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 2 2015 1:58PM